Seventeen Counterattacks and a Stat Sheet That Under-Counted

In the 67th minute of the England–Japan group-stage match at the Tokyo 2026 Olympics, I stayed alone in the SBS Sports editing room and rewound the footage for the fourth time. Across the second half, I counted seventeen quick counterattacks by England. The official stat sheet recorded three, and three was the figure for the entire match. I rewound a fifth time, wrote down every timestamp, checked them against the positional maps of both back lines, and sent my editor a two-page note. Fourteen counterattacks vanished from a dataset that thousands of people would later cite as objective evidence. That night I understood something simple: a stat sheet does not generate itself. It is made by people, under a definition, within a time window, for a purpose. Two weeks later I was assigned to the women's football data desk for that Olympic cycle, and the job let me see backstage. Every match is logged by a group of coders sitting thousands of kilometres from the stadium, eyes fixed on the broadcast feed, fingers on keys, following a definitions manual dozens of pages thick. A passage of play exists in the data only if it matches a definition in that manual. A shot from outside the box that hits the post can be logged as a "dangerous chance" by one provider and filed under "dead ball" by another. The 67th-minute counterattack I counted had four passes and ended within eight seconds. It met the ordinary definition of a counterattack, yet it never reached the sheet, because the coder logged it as a possession phase in the team's own half. I had learned to distrust ready-made data long before joining SBS. In 2026, at nineteen, I interned for the women's sports channel Her Ball. My first assignment was Incheon Red Angels against Gyeongju KHNP in round 12 of the WK League, with exactly 347 people in the stands. The organiser's single camera sat fixed at midfield and missed every situation on the left flank. I rigged a low-angle camera aimed at the high-pressing zone. Thanks to it, Lee Min-a's 23rd-minute opener became clear: she moved into the gap between the centre-back and the opposition left-back, took a through ball, and finished first time. Back to England–Japan. Seventeen counterattacks in forty-five minutes is a frequency almost impossible to sustain, and it says something about how Japan set up. Their back line pushed high to press, the two centre-backs stood about twenty metres apart, and every time they lost the ball in the opposition half, the space behind them was half a pitch wide. England did not need twelve passes to progress; they needed three. I redrew each situation, measured the distance from the recovery point to the box, and found most ended within seven to nine seconds. That is the signature of a pressing system with no fallback plan, rather than a weak defence. What bothers me is not the gap between seventeen and three. What bothers me is how people use sheets like that to draw conclusions. A pundit opens the stats, sees Japan with 58% possession, and writes that Japan controlled the game, when in fact they were cut open seventeen times. Possession is the most deceptive metric in this sport, because it counts touches rather than the value of those touches. A team can grind out 60% of the ball through meaningless sideways passes between two centre-backs, lose 0-2, and still be described as dominant. In 2026, when competitions worldwide paused, I had time to sit with a dataset I built myself, covering 214 matches of the South Korea women's national team from 2026 to 2026. I spent three months rewinding every game, counting every set piece and classifying it myself. The result: South Korea scored only 23.7% of their goals from set pieces, while Japan reached 41.2%. That seventeen-point gap did not come from fitness or individual technique; it came from coaching method: Japan devoted dedicated sessions to corners and free kicks, while South Korea treated them as an afterthought, squeezing fifteen minutes into the end of training. I sent the report to the women's national team staff and received an email inviting me to collaborate on opposition analysis during the October camp. 214 matches, 214 problems: the pandemic did not stop football, it only changed how we read a game. When the calendar is compressed, teams lose recovery time, and the closing minutes become where fates are decided. I began reading football through extra time, through stoppage time, through the dead-ball stretches when viewers switch channels. Football is remembered not only by goals, but by the forgotten minutes of extra time. Earlier, at the 2026 World Cup, I wrote a series for my university blog on the France–Belgium semi-final. I rewound Belgium's transition phases and measured a sequence: eight seconds, twelve consecutive passes, after three counterattacks. The first piece drew only 126 reads, but a tactics lecturer used it as classroom material. From then on I believed that women fans do not lack analytical ability; they lack content written the right way. The secondary camera is not a low starting point – it is an angle the stands have never seen. For years I have kept the habit of revisiting secondary angles, the runs outside the main frame, to trace the real cause of wins and losses. A midfielder who never touches the ball can still decide a goal, by dragging the opposition full-back out of position two seconds before the pass is played. The stat sheet does not record those two seconds. Each major tournament that passes, I find myself rewinding a little less, because broadcasters have begun hiring people to record what the main camera misses. Critics will say that if every analyst counts by their own definition, we are left with no common ground for comparison. I agree halfway. Commercial data is presented as objective truth, when it is a product designed to be sold. Data providers live on contracts with broadcasters and sponsors, so they need metrics that sound appealing, that fit easily into graphics, that tell a good story. The paradox sits here: women's leagues, with less money and fewer cameras, are where data is thinnest and also where data is used to judge most harshly. I have seen a women's international criticised for a low pass-completion rate, when the footage showed she was the only one willing to play a line-breaking pass. I also warn myself. Once you have a sheet ready to use against others, it is easy to pick the metric that suits your argument and call it science. I force myself to stand with the question rather than with a side: if seventeen counterattacks is right, then what let Japan hold their shape for those forty-five minutes? Answering that is analysis. Women's football is entering a major tournament cycle with more cameras, more analysts, and more open data than ever. What I hope for is not a few prettier metrics on a broadcast graphic, but that every viewer asks: who counted this metric, under what definition, and what did it leave out. A good presenter is not one who talks a lot, but one who knows when to let the data speak. As for me, I do not trust emotion, I trust data. Emotion can lie; a spreadsheet cannot.